Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Stochastic Goal Recognition Design Problems with Suboptimal Agents
AAAI 2022
Stochastic linear optimization never overfits with quadratically-bounded losses on general data
COLT 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
CVPR 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
CVPR 2022
stopes - Modular Machine Translation Pipelines
EMNLP 2022
Stop Measuring Calibration When Humans Disagree
EMNLP 2022
StoryQ—an Online Environment for Machine Learning of Text Classification
AAAI 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
ICML 2022
Strategic ranking
AISTATS 2022
Strategic Representation
ICML 2022
Strategizing against Learners in Bayesian Games
COLT 2022
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally
ECCV 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
EMNLP 2022
Strictly Proper Contract Functions Can Be Arbitrage-Free
AAAI 2022
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
JMLR 2022
Structural Bias for Aspect Sentiment Triplet Extraction
COLING 2022
Structural Characterization for Dialogue Disentanglement
ACL 2022
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation
EMNLP 2022
Structural generalization is hard for sequence-to-sequence models
EMNLP 2022
Structure-Aware Flow Generation for Human Body Reshaping
CVPR 2022
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
ICLR 2022
Structured Energy Network As a Loss
NeurIPS 2022
Structured Pruning Learns Compact and Accurate Models
ACL 2022
Structure Learning for Directed Trees
JMLR 2022
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
ICML 2022